2nd Workshop of Machine Learning Community Dresden

11.01.2019 // SCADS

We are glad to announce the second workshop of the Machine Learning Community Dresden (MLC). The workshop will take place on 16.05.2019 at Helmholtz-Zentrum Dresden – Rossendorf (HZDR). It is co-organised by HZDR and the Competence Center for Scalable Data Services and Solutions (ScaDS). In this workshop, researchers in the field of machine learning are invited to come together, exchange their ideas, discuss problems and plan future cooperations in an easy-going atmosphere.

We welcome abstracts for talks at mlc@mailbox.tu-dresden.de by 25.04.2019. Please choose the length of your presentation: 10, 25 or 45 minutes. In the short talks also questions to the community, open points for discussion and work-in-progress can be presented. The length of the Abstract should be between three lines and half a page. To participate, please send a short registration email with your name and home institution to mlc@mailbox.tu-dresden.de by 25.04.2019.

The workshop will take place in the large auditorium of HZDR from 10 a.m. to 5 p.m. There is a direct bus connection from Dresden to the HZDR (Bus 261 starting at 9:15 from Dresden Hauptbahnhof and at 9:25 from Dresden Albertplatz.)

More Information on the Machine Learning Community Dresden can be found at https://mlcdresden.gitlab.io/pages/2019/03/01/workshop.html We are looking forward to seeing you there and to have fruitful discussions.

Previous activities of Machine Learning Community Dresden in 2018

  • 15th of May 2018: first workshop (kick-off) at TU Dresden
  • 26th of June 2018: first thematic meeting on „ANNs: from Black Box to Open Book“
  • 8th of November 2018: second thematic meeting on „Medical and Biological Image Segmentation“
  • 20th December 2018: third thematic meeting on „Git for Data Scientists“

Organizing Team

  • Heide Meissner (HZDR)
  • Jeffrey Kelling (HZDR)
  • Peter Winkler (TU Dresden, ScaDS)
  • Steffen Seitz (TU Dresden)

Check out more news about ScaDS.AI Dresden/Leipzig at our Blog.